R Programming | Data Science Specialization | Coursera | Course

Brief Information
  • Name : R Programming (the 2nd course of Data Science Specialization in Coursera)
  • Lecturer : Roger D. Peng
  • Course : Data Science Specialization in Coursera
  • Syllabus : Syllabus__R Programming__Coursera
  • In short
    • In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples.
Trace lectures
  • Week 1: Overview of R, R data types and objects, reading and writing data
  • Week 2: Control structures, functions, scoping rules, dates and times
  • Week 3: Loop functions, debugging tools
  • Week 4: Simulation, code profiling
Assignments
  • Programming Assignment 1: Air Pollution
  • Programming Assignment 2: Peer Assessments
  • Programming Assignment 3: Hospital Quality
  • Programming Assignment swirl
Results
  • Week 1 Quiz – 15/20 points
  • Week 2 Quiz – 10/10 points
  • Week 3 Quiz – 2/5 points
  • Week 4 Quiz – 10/10 points
  • Programming Assignment 1 (Air Pollution) – 20/20 points
  • Programming Assignment 2 (Lexical Scoping) – 0/10 points
  • Programming Assignment 3 (Hospital Quality) – 25/25 points
  • swirl Programming Assignment – 5/5 (extra) points
  • Total point = 87/100
Certificate

Verified Course Record | R Programming | Coursera

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